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In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of dataprogramming. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!
Even if you aren’t subject to specific rules regarding data protection it is definitely worth listening to get an overview of what you should be thinking about while building and running datapipelines. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!
They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of datapipelines without having to manage any infrastructure. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!
They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of datapipelines without having to manage any infrastructure. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!
This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data.
This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data.
This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data.
For Auto Trader, connecting millions of buyers with thousands of sellers involves an awful lot of data. are logging in and engaging with data in Looker every month, including complex, higher-profile data products such as financial reporting. So everything from ingestion to modeling to alerting, et cetera.
For the most part, the business units are self-sufficient from a technology, infrastructure operations, and even data perspective. So, globally speaking, we operate multi-cloud architectures in the extreme, with some people on AWS, some on GCP, and some on Azure. Probably one flavor of almost everything you can imagine!
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